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Inference of fault signatures of discrete-event systems from event logs

Abstract : In this paper, we propose a method to diagnose faults in a discrete event system that only relies on past observed logs and not on any behavioural model of the system. Given a set of tagged logs produced by the system, the first objective is to extract from them a set of fault signatures. These fault signatures are represented with a set of critical observations that are the support of the diagnosis method. We first propose a method to compute the fault signatures from an initial log journal and follow with detail on how the signatures can then be updated when new logs are available.
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https://hal.laas.fr/hal-01929433
Contributor : Yannick Pencolé <>
Submitted on : Wednesday, November 21, 2018 - 11:02:21 AM
Last modification on : Thursday, June 10, 2021 - 3:05:44 AM

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Cody Christopher, Yannick Pencolé, Alban Grastien. Inference of fault signatures of discrete-event systems from event logs. 28th International Workshop on Principles of Diagnosis (DX'17), Sep 2017, Brescia, Italy. 15p., ⟨10.29007/qmpw⟩. ⟨hal-01929433⟩

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